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首页> 外文期刊>The Journal of Systems and Software >Hot spots profiling and dataflow analysis in custom dataflow computing SoftProcessors
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Hot spots profiling and dataflow analysis in custom dataflow computing SoftProcessors

机译：定制数据流计算SoftProcessor中的热点分析和数据流分析

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摘要

In the past decades, instruction set extension problem has been a key research area for state-of-the-art design automation of Very Large Scale Integration (VLSI) systems. Meanwhile, recently there is a renewed interest for hot spot profiling and dataflow analysis in custom instruction set processors. This paper proposes HOUSE, an architecture framework for adaptive reconfigurable instruction set processors (RISP) with dynamic profiling and dataflow analysis. A dynamic profiler is employed to obtain hot spots for each application at run-time. Then the selected hot spots will be considered as custom instructions and implemented in reconfigurable logic arrays. An instruction generator based on dataflow generation provides a mapping scheme from each selected instruction to hardware processing element in the array. To demonstrate the accuracy and feasibility of HOTISE, we have implemented a profiler prototype using simulator-based RTL codes. Experimental results show that the profiling results can cover more than 97% hot spots of MiBench and NetBench applications. In particular, the custom instruction of CRC and MD5 application proves the effectiveness of the mapping mechanism, the code sizes of CRC and MD5 could decrease to 32.5% and 37%, while achieving the speedup at 4.7x and 5.1 x, respectively.
机译：在过去的几十年中，指令集扩展问题一直是超大规模集成（VLSI）系统最新设计自动化的关键研究领域。同时，最近对自定义指令集处理器中的热点分析和数据流分析有了新的兴趣。本文提出了HOUSE，一种具有动态概要分析和数据流分析功能的自适应可重配置指令集处理器（RISP）的体系结构框架。动态分析器用于在运行时为每个应用程序获取热点。然后，选定的热点将被视为自定义指令，并以可重新配置的逻辑阵列实现。基于数据流生成的指令生成器提供了从每个选定指令到阵列中的硬件处理元素的映射方案。为了证明HOTISE的准确性和可行性，我们使用基于模拟器的RTL代码实现了探查器原型。实验结果表明，分析结果可以覆盖MiBench和NetBench应用程序97％以上的热点。特别地，CRC和MD5应用程序的自定义指令证明了映射机制的有效性，CRC和MD5的代码大小可以减小到32.5％和37％，同时分别达到4.7倍和5.1倍的加速。

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